Structured Distributed Compressive Channel Estimation Over Doubly Selective Channels
نویسندگان
چکیده
منابع مشابه
Compressive estimation of doubly selective channels: exploiting channel sparsity to improve spectral efficiency in multicarrier transmissions
We consider the estimation of doubly selective wireless channels within pulseshaping multicarrier systems (which include OFDM systems as a special case). A pilotassisted channel estimation technique using the methodology of compressed sensing (CS) is proposed. By exploiting a channel’s delay-Doppler sparsity, CS-based channel estimation allows an increase in spectral efficiency through a reduct...
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Doubly selective (DS) channel estimation in largescale multiple-input multiple-output (MIMO) systems is a challenging problem due to the requirement of unaffordable pilot overheads and prohibitive complexity. In this paper, we propose a novel distributed compressive sensing (DCS) based channel estimation scheme to solve this problem. In the scheme, we introduce the basis expansion model (BEM) t...
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In this paper, a new deterministic subspace based blind channel estimation algorithm for doubly-selective channels is introduced. It operates on timeand frequency-shifted versions of the received sequence, and requires only two receive antennas. Furthermore, due to its deterministic nature, it needs only a short data record to work reliably. The proposed algorithm unifies and extends previously...
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ژورنال
عنوان ژورنال: IEEE Transactions on Broadcasting
سال: 2016
ISSN: 0018-9316,1557-9611
DOI: 10.1109/tbc.2016.2550761